A computing device analyzes the transaction entries in a transaction log to identify related commands associated with performing a set of data operations. Commands are considered to be potentially related if the commands are executed within a predetermined timespan. Sets of potentially related commands are then grouped together into corresponding candidate patterns, and further analyzed in view of additional information to determine a probability that the potentially related commands of a candidate pattern are actually related. A confidence value indicating that probability is also determined. Application management tasks, such as database optimization and recovery tasks, for example, may then be performed based on the candidate patterns that meet or exceed a predetermined threshold.
Legal claims defining the scope of protection, as filed with the USPTO.
1. A computer-implemented method comprising: obtaining, by a processing circuit, a transaction log generated by an application program executing on a computing device, wherein the transaction log comprises a plurality of transaction commands executed by the application program; converting, by the processing circuit, the plurality of transaction commands into a set of candidate command patterns, each candidate command pattern comprising a set of transaction commands that were executed by the application program within a predetermined timespan; determining, by the processing circuit, that at least one of the set of candidate command patterns comprises a nested candidate command pattern, wherein the determining comprises identifying the set of transaction commands of a first candidate command pattern interposed in the set of transaction commands of a second candidate command pattern; determining, by the processing circuit, a confidence value for each candidate command pattern and the nested candidate command pattern, wherein the confidence value indicates a probability that the set of transaction commands comprising the candidate command pattern relate to a given task; and generating, by the processing circuit, command pattern data based on the set of candidate command patterns, including the nested candidate command pattern, that meet a predetermined criteria, wherein the command pattern data comprises information for performing an application management task; generating, by the processing circuit, a recommendation for performing the application management task based on the command pattern data; and generating, by the processing circuit, a report for output to a user, wherein the report comprises the command pattern data and the recommendation for performing the application management task.
2. The method of claim 1 wherein converting, by the processing circuit, the plurality of transaction commands into a set of candidate command patterns comprises masking, for each candidate command pattern, data parameters associated with the set of transaction commands that comprise the candidate command pattern.
3. The method of claim 1 wherein converting, by the processing circuit, the plurality of transaction commands into a set of candidate command patterns comprises: computing an elapsed time between execution times of first and second transaction commands in the transaction log; and combining the first and second transaction commands to form the candidate command pattern if the elapsed time is less than or equal to the predetermined timespan.
4. The method of claim 3 wherein determining, by the processing circuit, a confidence value for each candidate command pattern and the nested candidate command pattern comprises computing the confidence value as a function of a frequency in which the candidate command pattern and the nested candidate command pattern appears in the transaction log.
5. The method of claim 3 wherein determining, by the processing circuit, a confidence value for each candidate command pattern and the nested candidate command pattern comprises determining the confidence value as a function of whether data parameters associated with the first transaction command are the same as, or different than, data parameters associated with the second transaction command.
6. The method of claim 1 wherein the set of transaction commands comprising a given candidate command pattern are associated with the application program performing a selected function.
7. The method of claim 6 wherein the selected function comprises a database function.
8. The method of claim 1 wherein generating command pattern data based on the candidate command patterns, including the nested candidate command pattern, that meet a predetermined criteria comprises outputting a report comprising the command pattern data for a candidate command pattern if the confidence value of the candidate command pattern is equal to or exceeds a predetermined confidence threshold.
9. The method of claim 7 wherein the application management task comprises one of a database optimization task and a database recovery task.
10. A computing device comprising: a communications interface circuit configured to obtain a transaction log generated by an application program, wherein the transaction log comprises a plurality of transaction commands executed by the application program; and a processing circuit configured to: convert the plurality of transaction commands into a set of candidate command patterns, each candidate command pattern comprising a set of transaction commands that were executed by the application program within a predetermined timespan; determine that at least one of the candidate command patterns comprises a nested candidate command pattern, wherein to determine that at least one of the candidate command patterns comprises a nested candidate command pattern, the processing circuit is configured to identify the set of transaction commands of a first candidate command pattern interposed in the set of transaction commands of a second candidate command pattern; determine a confidence value for each candidate command pattern and the nested candidate command pattern, wherein the confidence value indicates a probability that the set of transaction commands comprising the candidate command pattern relate to a given task; and generate command pattern data based on the candidate command patterns, including the nested candidate command pattern, that meet a predetermined criteria, wherein the command pattern data comprises information for performing an application management task; generate a recommendation for performing the application management task based on the command pattern data; and generate a report for output to a user, wherein the report comprises the command pattern data and the recommendation for performing the application management task.
11. The computing device of claim 10 wherein the processing circuit is further configured to mask, for each candidate command pattern, data parameters associated with the set of transaction commands that comprise the candidate command pattern.
12. The computing device of claim 10 wherein the processing circuit is further configured to: compute an elapsed time between execution times of first and second transaction commands in the transaction log; and combine the first and second transaction commands to form the candidate command pattern if the elapsed time is less than or equal to the predetermined timespan.
13. The computing device of claim 11 wherein the processing circuit is further configured to determine the confidence value as a function of whether data parameters associated with a first transaction command are the same as, or different than, data parameters associated with a second transaction command.
14. The computing device of claim 10 wherein the set of transaction commands comprising a given candidate command pattern are associated with the application program performing a selected function.
15. The computing device of claim 14 wherein the selected function comprises a database function.
16. The computing device of claim 10 wherein the processing circuit is further configured to generate the command pattern data for a candidate command pattern if the confidence value of the candidate command pattern is equal to or exceeds a predetermined confidence threshold.
17. The computing device of claim 16 wherein the application management task comprises a database optimization task.
18. The computing device of claim 16 wherein the application management task comprises a database recovery task.
19. A non-transitory computer-readable storage medium comprising computer program code stored thereon that, when executed by a processing circuit of a computing device, configures the processing circuit to: obtain a transaction log generated by an application program, wherein the transaction log comprises a plurality of transaction commands executed by the application program; convert the plurality of transaction commands into a set of candidate command patterns, each candidate command pattern comprising a set of transaction commands that were executed by the application program within a predetermined timespan; determine that at least one of the candidate command patterns comprises a nested candidate command pattern, wherein to determine that at least one of the candidate command patterns comprises a nested candidate command pattern, the processing circuit is configured to identify the set of transaction commands of a first candidate command pattern interposed in the set of transaction commands of a second candidate command pattern; determine a confidence value for each candidate command pattern and the nested candidate command pattern, wherein the confidence value indicates a probability that the set of transaction commands comprising the candidate command pattern relate to a given task; and generate command pattern data based on the candidate command patterns, including the nested candidate command pattern, that meet a predetermined criteria, wherein the command pattern data comprises information for performing an application management task; generate a recommendation for performing the application management task based on the command pattern data; and generate a report for output to a user, wherein the report comprises the command pattern data and the recommendation for performing the application management task.
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March 26, 2015
October 2, 2018
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